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Statistics report
Feb. 2021
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 91
Paper Published : 2072
No. of Authors : 5910
  Journal Paper


Paper Title :
Development of Genetic Programming Model for Prediction of Cutting Forces in Rotary Milling

Author :Gopala Rao Thellaputta, P. S. C. Bose, C.S.P. Rao

Article Citation :Gopala Rao Thellaputta ,P. S. C. Bose ,C.S.P. Rao , (2019 ) " Development of Genetic Programming Model for Prediction of Cutting Forces in Rotary Milling " , International Journal of Mechanical and Production Engineering (IJMPE) , pp. 10-13, Volume-7,Issue-10

Abstract : There has been huge requirement and immense interest to develop the novel technologies in the metal machining and defence industry because of the improvement of tool substances reached optimal stage. The cutting tool life was drastically reduced while machining of difficult to cut materials such as titanium based super alloys; Nickel based super alloys and structural composite materials. Here the novel technology to increase tool life is self propelled rotary machining. The manufacturers were developing such tools to increase the productivity. In this work face milling operation was carried out on Inconel 625 a Nickel based super alloy which is widely consumed in industries like aerospace and defence. After conducting experiments predictive models were developed using multi gene genetic programming (MGGP) to predict the cutting force. The cutting force which is predicted using MGGP had the better correlation with the experimental values. Keyword - Rotary Machining, MGGP, Inconel 625, Nickel Based Super Alloys.

Type : Research paper


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